知识与财富的链接
目的/意义构建智能实验室报告解读系统,帮助患者了解自身健康状况。方法/过程收集四川省金堂县第一人民医院实验室检验报告并标注,以ERNIE-4.0-Turbo-8K为基础模型,用标注数据监督微调,引入检索增强生成机制优化模型性能。结果/结论监督微调后,模型在实验室报告解读任务中多项评估指标优于微调前;以项目编码为索引的检索增强生成机制,能精准检索匹配知识切片,提升解读准确性与可解释性。基于大语言模型优化的智能系统,在提升医疗服务质量和效率方面潜力巨大,但准确性、稳定性尚待深入评估。
Purpose/Significance To build an intelligent laboratory report interpretation system to help patients understand their own health conditions.Method/Process The study collects and annotates the laboratory test reports from Jintang First People’s Hospital in Sichuan province.Using ERNIE-4.0-Turbo-8K as the base model,it conducts supervised fine-tuning with the annotated data,and introduces the retrieval-augmented generation mechanism to optimize the model performance.Result/Conclusion After supervised fine-tuning,the model outperforms the pre-fine-tuning in multiple evaluation indicators for the laboratory report interpretation task.The retrieval-augmented generation mechanism indexed by item codes can accurately retrieve and match knowledge slices,improving the accuracy and interpretability of the interpretation.The optimized intelligent system based on large language models has great potential in improving the quality and efficiency of medical services.However,its accuracy and stability still need in-depth evaluation.
